\*\*This is a Double-blind review, please do not include authors information in this version \*\* Received Date: \*date Accepted Date: \*date Published Date: \*date **HIGHLIGHTS (Arial 11)** - The descriptive statistical analysis for frequency amount of money spends for home garden landscape among residents. - Regression analysis was employed between environmental awareness, plant diversity, garden inconvenience, and satisfaction with the home garden landscape. - Positive relationship between environmental awareness and plant diversity towards satisfaction with the home garden landscape using Pearson’s Correlation Analysis. ABSTRACT *Landscape satisfaction towards home garden landscape is vital to preserving home garden ownership. This study was conducted to determine the factors influencing landscape satisfaction towards home garden landscape as there is an insufficient number of studies regarding the subject. This study also focused on residents who own a home garden and mainly live in a residential area in Puchong, Selangor, as the respondents. Quantitative data through a survey questionnaire was collected among them. The Snowball sampling technique was used as the sampling technique. SPSS software was deployed to conduct frequency analysis, reliability analysis, correlation analysis, and regression analysis for the data analysis. The research study found that plant diversity was most significant to landscape satisfaction since the p-value of plant diversity was 0.000 and followed by the environmental awareness factor with a p-value of 0.011. It can be concluded that plant diversity and environmental awareness were influential variables in the landscape satisfaction toward the home garden landscape. The independent variable could be varied to explore other factors influencing the landscape satisfaction towards home garden landscape in Puchong, Selangor, for future research.* ***Keywords:** significant; regression; p-value; home garden landscape; environmental awareness* # INTRODUCTION (Arial 12 – First level heading) The world population is probably to reach over 9 billion in 2050 (United Nations, 2017). Population of Puchong, Selangor are around 192, 389 and was classified as an urban area because it had a population of 10,000 with at least 60% of the population were involved in non-agricultural activities (Department of Statistics Malaysia, 2020). As such, home garden was suggested as one of the strategies to encounter problems related to food security and nutrition which is increasing food shortages for a constantly growing world population (Palar et. al., 2019). Home gardens are grown usually for the private used and easily found whether in rural or urban area nowadays as it has a multifunctional role and provides numerous benefits to the owner (Ortíz-Sánchez, Monroy-Ortiz, Romero-Manzanarez, Luna-Cavazos, & Castillo-España, 2015). Thus, residents in Puchong, Selangor usually tends to own a home garden landscape for their private used and benefits. Satisfaction consists of multiple meanings and it is varied to the application in disciplines such as in economics, psychology and among others. According to Sirgy (2012), satisfaction is defined as expectations, cherished values and beliefs among others. Satisfaction can also be defined as either an emotional or cognitive experience, and its assessment is focused on what was intended to be obtained (Paul & Folorunso, 2015). There are many factors that can influence satisfaction of an individual. For example, research done by Jo (2018), found that efficiency and responsiveness were the factors that influence customers’ satisfaction among the undergraduate students in a Nigerian University. Hence, landscape satisfaction be described as an affection or an emotional reaction towards a landscape. In doing so, this study is sought to address the gap in the literature regarding the present knowledge of landscape satisfaction which influenced by the selected factors towards home garden landscape. There are many different types of gardens in landscape and one of them is home garden landscape. In Puchong, home gardens are commonly used at the housing area for a different purpose such as household’s consumption, plants cultivation and for increasing aesthetic value of the house. Landscape is an important component of the environment especially in this urbanization and modern time. According to Kannan (2019), the Prime Minister of Malaysia, Tun Dr Mahathir Mohamad urged Malaysian to keep their surroundings clean and beautiful, and said if landscaping becomes a Malaysian culture, Malaysia would change into a beautiful garden country during the launched of 2019 National Landscape Day. Topography, vegetation and associated plants and soil, water bodies and their spatial configuration are included in landscape and it is one of the furthermost visual needs of individuals (Zheng, Zhang, & Chen, 2011). In addition, they also added that interactions between human and nature assist human beings to have a distinct preference for the surrounding landscape and environment as a pleasant landscape can increase people’s mental and physical wellbeing. Landscape design is the practice of designing property for its full use and enjoyment. Landscape elements which are hardscape and softscape perform an important role in order to make the environment joyful and appealing. Presence of plants, also known as soft landscaping, enable relaxing mind from the hardscape such as concrete, brick or stone and it is also providing chances to establish an outdoor room which offer an interactive area (Abdelrahman, Al-Hagla, & Saadallah, 2018). According to Shahli et al. (2014), the role of hardscape and softscape, particularly in Malaysia’s housing area, gives an affectionate value and provide to the development of images and contemporary landscape character. Besides, hardscape often plays a role in setting the landscape as appealing components that stabilize the natural environment. In particular, people tended to be more satisfied with a good home garden landscape that consists of more native plants as it provides relaxation to the viewers. # METHODOLOGY This study was done among 132 residents that own a home garden in Puchong. According to Halim and Ishak (2014), it was stated that a 30 to 500 sample size is appropriate for a study. The Snowball sampling technique was used to select 132 samples of residents. The Snowball sampling technique was done by selecting an initial group of respondents at random. After being interviewed, this respondent was asked to identify others who belong to the target population of interest. This method was continued processing until 132 numbers of respondents were identified. The data collection method used in this study is a direct questionnaire. This questionnaire was constructed into five sections which are stated in table 1 below: Table 1: Instruments of sections in the questionnaire | Section | Title | Perspective Format | | ------- | ------------------------------------------ | ---------------------- | | A | Demographics Section | Multiple Choice Answer | | B | Environmental Awareness | 7 Point Likert Scale | | C | Plant Diversity | 7 Point Likert Scale | | D | Garden Inconvenience | 7 Point Likert Scale | | E | Satisfaction Towards Home Garden Landscape | 7 Point Likert Scale | SPSS software was used to conduct frequency analysis, reliability analysis, correlation analysis and regression analysis. **FINDINGS AND DISCUSSIONS** **Frequency Analysis** Table 2 summarizes the demographic of residents in Puchong, Selangor. It could be observed that 68 (51.5%) of the respondents were female, while the rest were male, accounting for approximately 64 (48.5%) respondents, respectively. The highest age group of the respondent was 41 to 50 years old, which was represented by 50 respondents (37.9%), followed by 31 to 40 years old, which accounted for about 38 respondents (28.8%). The number of respondents that was the third large came from the age group between 21 to 30 years old. The number of respondents from the age group 21 to 30 was 23 (17.4%), and the fourth-highest age group was between 51 to 60 years old, with 13 respondents (9.8%). The lowest age group was above 60 years old, with only eight respondents (6.1%). Apart from that, the number of married respondents was 100 (75.7%). 27 (20.5%) of the respondents were single, while the rest were others, accounting for five (3.8%), respectively. Furthermore, the highest ethnicity group of the respondent was Malay which was represented by 122 respondents (92.4%), followed by Chinese, which made up about five respondents (3.8%). The number of respondents from the ethnicity group others were three respondents (2.3%), while the rest were Indian two respondents (1.5%) respectively. Moreover, the highest religion group of the respondent was Islam which was represented by 122 respondents (92.4%), followed by Buddha, which made of about four respondents (3.0%). The number of respondents that was the third large came from the religion group Christian. The number of respondents from the religion group Christian was three respondents (2.3%), while the fourth highest religion group was Hindu which was two respondents (1.5%). The lowest religion group was others, accounting for only one respondent (0.8%). In terms of education, the highest education background of the respondent was from Bachelor's Degree, which is represented by 43.9% (58 respondents). It is followed by the respondents who obtained the Diploma, with 21.2% (28 respondents). The third highest was among the respondents with their highest education background was from the Malaysia Examination Certificate (SPM) at 17.4% or 23 respondents. It is followed by the respondents who obtained a Master's Degree which was 8.3% (11 respondents). The number of respondents who obtained Malaysia Higher Examination Certificate (STPM), Doctor of Philosophy (PhD) and others were 3.0% (four respondents). In addition, the highest monthly income of the respondents' group was between RM 3000 to 4499 and RM 1500 to 2999, which both were about 39 respondents (29.5%). Then, it is followed by respondents who had a monthly income above RM 4500 by 36 respondents (27.3%). The lowest monthly income of the respondents' group was RM 0-1499 which was about 18 respondents (13.6%). Lastly, the respondents' group's highest amount of money spent on the home garden landscape was between RM 0 to 499, which was about 126 respondents (95.5%). It is followed by the respondents' group who spent RM 500 to 999 for the home garden, which was about four respondents (3.0%). The respondents' group's lowest amount of money spent on the home garden landscape was RM 1000 to 1499, with only two respondents (1.5%). No respondent spent on their home garden landscape more than RM 1500. Table 2: Demographic profile of respondents
Demographic Frequency Percentage

Gender

Male

Female

Total

64

68

132

48.5

51.5

100.0

Age (years)

21-30

31-40

41-50

51-60

>60

Total

23

38

50

13

8

132

17.4

28.8

37.9

9.8

6.1

100.0

Marital status

Single

Married

Others

Total

27

100

5

132

20.5

75.8

3.8

100.0

Ethnicity

Malay

Chinese

Indian

Others

Total

122

5

2

3

132

92.4

3.8

1.5

2.3

100.0

Religion

Islam

Buddha

Hindu

Christian

Others

Total

122

4

2

3

1

132

92.4

3.0

1.5

2.3

0.8

100.0

Education Level

Malaysia Examination Certificate (SPM)

Malaysia Higher Examination Certificate (STPM)

Diploma

Bachelor's Degree

Master's Degree

Doctor of Philosophy (PhD)

Others

Total

23

4

28

58

11

4

4

132

17.4

3.0

21.2

43.9

8.3

3.0

3.0

100.0

Monthly Income (RM)

0-1499

1500-2999

3000-4499

>4500

Total

18

39

39

36

132

13.6

29.5

29.5

27.3

100.0

Amount of Money Spend for Home Garden Landscape (RM)

0-499

500-999

1000-1499

Total

126

4

2

132

95.5

3.0

1.5

100.0
**Reliability Analysis** Reliability measures the internal consistency of a set of scale items. It raises the question of whether each scale is measuring a single idea. The Cronbach's Alpha was used to measure scale reliability. Table 3: Reliability analysis | Variable | No. of Items | Cronbach's Alpha | Strength of Association | | ----------------------------------------------- | ------------ | ---------------- | ----------------------- | | Satisfaction towards home garden landscape (DV) | 7 | 0.935 | Good | | Environmental awareness | 7 | 0.790 | Acceptable | | Plant diversity | 7 | 0.818 | Good | | Garden inconvenience | 7 | 0.852 | Good | Cronbach's Alpha can take values between 0 to 1. The reliability coefficient shows how positively well the items are in a set correlated to another. The analysis was done using Cronbach's Alpha to ensure the reliability of the measurement, which will show the outcome without bias and confirm the consistency of the measurement across the time and many items in the study by Sekaran, U (2013). In using the analysis, the closer the reliability coefficient to 1, the more reliable the scale of the variable. If the reliability coefficient value is less than 0.60, it is considered poor. Meanwhile, if the value is in the range of 0.70, it is acceptable, and those values that are over 0.80 are considered to be good. From Table 3, it can be concluded that the value obtained in this study was good and acceptable. The Cronbach's Alpha for satisfaction towards home garden landscape was 0.935, which was good for the study. The value for environmental awareness was 0.790 in value, which was acceptable. The other variable was plant diversity and garden inconvenience at 0.818 and 0.852, respectively, which was good for the study. **Pearson’s Correlation Analysis** Pearson's correlation analysis is used to find a correlation between at least two continuous variables. Using the rule of thumb, the closer the correlation to one means a solid relationship between variables. Table 4: Pearson's Correlations | | Satisfaction | Environmental Awareness | Plant Diversity | Garden Inconvenience | | ----------------------- | ------------ | ----------------------- | --------------- | -------------------- | | Satisfaction | 1 | .295\*\* | .540\*\* | \-.081 | | Environmental Awareness | .295\*\* | 1 | .218\* | .044 | | Plant Diversity | .540\*\* | .218\* | 1 | .029 | | Garden Inconvenience | \-.081 | .044 | .029 | 1 | \* Correlation is significant at the 0.05 level \*\* Correlation is significant at the 0.01 level The intercorrelation among the study variables was three independent variables (Environmental Awareness, Plant Diversity and Garden Inconvenience) and a dependent variable (Satisfaction) are shown in Table 4. The aim is to find the strength of the relationship, whether it is positive or negative. The table shows that environmental awareness and plant diversity variables were significant at the 0.01 level with the dependent variable, which is satisfaction. Meanwhile, it shows that garden inconvenience was not significant at the 0.01 level with the dependent variable (satisfaction). Firstly, the R-value for correlation between environmental awareness and landscape satisfaction towards home garden landscape was 0.295 or 29%. According to the rule of thumb, it represents a low relationship (r = 0.295, p\<0.01). Next, the R-value for correlation between plant diversity and landscape satisfaction towards home garden landscape was 0.540 or 54%. The relationship could be considered strong and significantly correlated to landscape satisfaction towards the home garden landscape. Lastly, the correlation between garden inconvenience and landscape satisfaction towards the home garden was shown that the R-value was -0.081. It indicates a negative relationship between garden inconvenience and landscape satisfaction towards home garden landscape as -1 indicates a perfect negative relationship (r = -0.081, p\>0.01). **Regression Analysis** Table 5: Regression Analysis

Dependent Variable

Landscape Satisfaction Towards Home Garden Landscape
Independent Variable Coefficient t Significant Value
Environmental Awareness 0.190 2.578 0.011
Plant Diversity 0.502 6.796 0.000
Garden Inconvenience -0.104 -1.443 0.152
R² 0.336
Adjusted R² 0.320
F Value 21.565
Table 5 shows the result of regression between environmental awareness, plant diversity, garden inconvenience, and satisfaction with the home garden landscape. Landscape satisfaction towards home garden landscape was the dependent variable, while the independent variables were environmental awareness, plant diversity and garden inconvenience. The coefficient value shows the strength of the relationship between the dependent and independent variables. The p-value of environmental awareness was 0.01, which is less than 0.05. The value revealed a statistically significant relationship between environmental awareness and landscape satisfaction toward the home garden landscape. Beta 0.190 means a positive relationship, indicated for each 1 unit increase in the independent variable; the dependent variable will increase by 0.190 units. This finding was supported by other research by B. Supriadi et al. (2017) which found that environmental awareness influences satisfaction. The research concluded that customers' satisfaction was significantly and positively affected by green products. The research found that the higher the usage of Green products in hotels, the level of customer satisfaction will increase. The main reasons are that the green product represents the ideals of the customer experience while staying at the hotel, involves the sensory passion of the customer's enjoyment of environmental awareness. From the research, the hotel's availability of green open spaces with various shady and attractive plants will make the hotel air fresher and cleaner, which influences customers' satisfaction. For the plant diversity, the p-value was 0.000, which is less than 0.05. The value indicated a statistically significant relationship between plant diversity and landscape satisfaction toward home garden landscape in Puchong, Selangor. The value β = 0.502 indicated for each 1 unit increase in the independent variable, the dependent variable will increase by 0.502 units. Research by \[27\] supports this finding. The research supported this finding by concluding that the perceived species richness was related to a better connection to nature and enhanced site satisfaction. It was also stated that all perceived species richness metrics such as plants, butterflies and birds were positively connected with site satisfaction. Garden inconvenience indicated a statistically insignificant relationship between garden inconvenience and landscape satisfaction towards home garden landscape since the p-value was 0.152, more than 0.05. The value of Beta -0.104 means negative relationship, indicating that for each 1 unit increase in the independent variable, the dependent variable will decrease by 0.104 units. This finding was also supported by J. Cruz-Cárdenas and N. H. Oleas (2018) that concluded that satisfaction was negatively related to garden inconvenience. The research was conducted to determine the satisfaction of individuals with their gardens in Quito, Ecuador. This research shows that garden inconvenience does not influence landscape satisfaction among the residents regarding the home garden landscape. Hence, hypothesis three was rejected. **CONCLUSION AND RECOMMENDATIONS** The study was conducted to study the relationship between environmental awareness, plant diversity and garden inconvenience with the landscape satisfaction towards home garden landscape in Puchong, Selangor. The study's objectives were to determine the significant relationship between environmental awareness, plant diversity and garden inconvenience on landscape satisfaction towards home garden landscape in Puchong, Selangor. The study's independent variables were environmental awareness, plant diversity, and garden inconvenience. On the other hand, the dependent variable of the current work was landscape satisfaction toward home garden landscape in Puchong, Selangor. The literature review was included to formulate the hypotheses, theoretical research and methodology. It also supports the relationship between the independent and dependent variables used in this study. ## The focus of the study is the residents in Puchong, Selangor, who owns a home garden landscape. The snowball samplings technique was done to collect the data from the respondent in the study. There were 132 respondents in this study, and the medium of distributing the questionnaires was done using a google form. A few analyses were used in the study, such as the reliability test, descriptive analysis, regression analysis, and correlation analysis. ## Based on the total respondent who responded, the total male respondent is 48.5%, while the female respondent is 51.5%. The number of respondents with a Bachelor's Degree as their highest educational background was 43.9%. The highest monthly income group is between RM 3000 to RM4499 and RM1500 to RM2999 as most respondents chose this to represent the monthly income. The highest amount of money spent on a home garden landscape is between RM 0 to RM 499, as most respondents chose this to represent the amount of money spent on a home garden landscape. ## The reliability analysis was done to examine the consistency of the data gathered using Cronbach's Alpha. According to Sekaran (2003), if the reliability is less than 0.6, it is considered poor; if the range is between 0.7 to 0.8, it is acceptable, and if it is more than 0.8, it is good. The satisfaction towards the home garden landscape, plant diversity and garden inconvenience obtained good strength of association. The environmental awareness of the residents is the acceptable strength of association. ## Pearson correlation was used to show the relationship among the variables. The results show that two independent variables, environmental awareness and plant diversity, are significantly positively correlated with the dependent variable (landscape satisfaction toward home garden landscape). In contrast, the independent variable (garden inconvenience) is an insignificant factor influencing the landscape satisfaction toward the home garden landscape. The regression analysis also showed that the plant diversity and environmental awareness were the most influential variables in the landscape satisfaction toward the home garden landscape. ## In conclusion, the research findings can help overcome the problems such as poor satisfaction and lack of home garden ownership among the residents in Puchong, Selangor. Those are the leading factors why the researcher wanted to identify the variables that caused and influenced the satisfaction with the home garden landscape. By determining the influenced factors, the organization that provides home garden landscape services and consultant can improve their services to meet the landscape satisfaction among residents. ## The study concluded that out of three independent variables, environmental awareness, plant diversity, and garden inconvenience, only two independent variables, environmental awareness, and plant diversity, have a significant relationship with landscape satisfaction towards the home garden landscape. ## For future research, the independent variable could be varied to explore other factors influencing the landscape satisfaction towards home garden landscape in Puchong, Selangor. The external factor that could be explored is relative garden size. 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